Principal Data Platform Architect - Azure & Databricks

Stryker; Mahwah (NJ); On-site; USD 136,000 - 226,000; Full time

Benefits offered by this job

Health benefits

Wellbeing program

Tobacco cessation program

HSA

FSAs

401(k) plan

Employee stock purchase plan

Life and AD&D insurance

Short-term disability

ESPP

Job summary

Stryker seeks a Principal Architect for EDT Data Platform Engineering to translate enterprise data architecture into scalable solutions on Azure and Databricks Lakehouse. You will partner with delivery teams, data stewards, and business reps to build governed pipelines, analytics-ready models, and reusable automation.

You will lead ingestion frameworks, Bronze-to-Silver transformations, and Gold-layer modeling while aligning with Power BI and Fabric semantic layers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent.
• Minimum 8 years of data engineering, data warehousing, and analytics platform experience on Azure and Databricks.
• Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks Delta Live Tables, Delta Lake, Spark, Workflows, and Unity Catalog.
• Advanced experience with PySpark or Python and SQL for batch and streaming pipelines.
• Experience with Azure DevOps pipelines, repositories, policies; PowerShell automation; CI/CD; and Infrastructure as Code.
• Experience with schema enforcement, data contracts, data quality frameworks, metadata-driven design, monitoring, debugging, and performance tuning.

Responsibilities

• Build and maintain ingestion frameworks using Azure Data Factory, Databricks, and Spark.
• Implement Bronze-to-Silver transformations with data quality checks and data contracts.
• Optimize batch and streaming pipelines for performance and cost.
• Own CI/CD pipelines in Azure DevOps and automate onboarding, repositories, pipelines, policies, and templates.
• Maintain Infrastructure as Code and automation using Terraform, PowerShell, and Python; troubleshoot failures.
• Design Gold-layer data models with star and snowflake schemas, fact tables, and dimensions.
• Align reusable models and business logic with the enterprise semantic layer in Power BI and Microsoft Fabric.
• Manage model changes with impact analysis, backward compatibility, and regression support.
• Implement Unity Catalog standards, metadata policies, and access controls.
• Translate architecture into low-level designs, templates, and playbooks.
• Guide onboarding, debugging, and design reviews; create reusable assets to reduce questions.

Skills

Data engineering

Stakeholder communication

Problem solving

Education

Bachelor's degree

Master's degree (preferred)

Tools

Azure Data Factory

Databricks

Spark

Delta Live Tables

Unity Catalog

Azure Data Lake Storage

Azure SQL

Python

PowerShell

Terraform

Azure DevOps

Job description

Stryker seeks a Principal Architect for EDT Data Platform Engineering to translate enterprise data architecture into scalable solutions on Azure and Databricks Lakehouse. You will partner with delivery teams, data stewards, and business reps to build governed pipelines, analytics-ready models, and reusable automation.

You will lead ingestion frameworks, Bronze-to-Silver transformations, and Gold-layer modeling while aligning with Power BI and Fabric semantic layers.